Predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk
Predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk
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DOI:
10.1016/s0196-0644(03)00817-5
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发表时间:
2004-01-01
影响因子:
6.2
通讯作者:
Chen, WJ
中科院分区:
文献类型:
--
作者:
Chen, SY;Su, CP;Chen, WJ
Study objective: Since the World Health Organization issued a global alert about severe acute respiratory syndrome (SARS) on March 12, 2003, the illness has become a major public health challenge worldwide. The objective of this study is to identify the clinical risk factors of SARS and to develop a scoring system for early diagnosis.Methods: The detailed clinical data of all patients presenting to the emergency department (ED) with a temperature higher than 38.0(o)C (100.3(o)F) documented at home or at the ED, and risks of exposure to SARS within 14 days were assessed. The diagnosis of probable SARS was made according to the definition of the Centers for Disease Control and Prevention. Items with significant differences among symptoms, signs, and laboratory tests on presentation between SARS and non-SARS groups were determined and used to develop the scoring system.Results: Seventy patients were enrolled and 8 were diagnosed as probably having SARS. None of the initially discharged patients or their relatives developed SARS. Compared with the non-SARS group, the SARS group was younger (33.9+/-15.9 years versus 44+/-9.8 years; P=.02), had a higher percentage of fever prolonged more than 5 days (87.5% versus 6.5%; P